A MIDI composition system that enables AI assistants to create music through FluidSynth, with capabilities for playing notes, creating melodies, managing tracks, and exporting audio.
Here's what you would need to create an effective MIDI composition system built on FluidSynth: Core MIDI Functions for Your MCP Server
initialize_fluidsynth() - Set up FluidSynth with proper configurations load_soundfont(soundfont_path) - Load SoundFont files (.sf2) for instrument sounds set_gain(gain_value) - Control the overall volume of the synth set_reverb(room_size, damping, width, level) - Configure reverb effects set_chorus(nr, level, speed, depth, type) - Configure chorus effects
play_note(note, velocity, duration, channel) - Play single notes with control over velocity and duration play_chord(notes, velocity, duration, channel) - Play multiple notes simultaneously as chords create_sequence(notes, durations, velocities, channel) - Create sequences of notes with timing play_midi_file(file_path) - Load and play existing MIDI files record_midi(duration) - Record MIDI input for a specified duration
create_melody(scale, key, length, rhythm_pattern) - Generate melodies based on musical rules create_chord_progression(progression, style, tempo) - Create harmonic progressions with different voicings create_drum_pattern(style, tempo, variations) - Generate rhythmic patterns for percussion create_arpeggio(chord, pattern, tempo) - Create arpeggiated patterns from chord structures create_bassline(chord_progression, style, tempo) - Generate bass patterns that complement chord progressions
create_track(name, instrument, channel) - Create a new track with specified instrument mute_track(track_id) - Silence a specific track solo_track(track_id) - Solo a specific track set_track_volume(track_id, volume) - Adjust volume for individual tracks set_track_pan(track_id, pan) - Adjust stereo positioning
create_project(name, tempo, time_signature) - Initialize a new composition project save_project(path) - Save the current project state load_project(path) - Load a saved project export_midi(path) - Export the composition as a standard MIDI file export_audio(path, format) - Render the composition to audio using FluidSynth
start_midi_server(port) - Start a server that listens for MIDI events connect_midi_device(device_name) - Connect to external MIDI hardware send_midi_event(event_type, parameters) - Send MIDI events to connected devices sync_tempo(tempo) - Synchronize tempo across connected systems
Implementation Approach Based on the SuperCollider MCP server I examined, here's how you could structure your FluidSynth MIDI server:
Python Backend: Use Python with the python-osc library for communication and pyfluidsynth for FluidSynth integration MCP Protocol Implementation: Create a server that follows the Model Context Protocol structure Architecture:
AI Assistant (Claude) calls methods on your MCP Server Your server translates these to FluidSynth commands FluidSynth generates the actual audio
Getting Started To build this system, you would need to:
Create a Python project with the necessary dependencies:
pyfluidsynth - For FluidSynth integration mcp - For MCP protocol support python-osc - For OSC communication (if needed) mido - For MIDI file handling
Create a main server file (e.g., server.py) that:
Initializes FluidSynth Registers all your music composition methods Handles communication with Claude
Design the method signatures in a way that allows Claude to easily compose music, with well-defined parameters and reasonable defaults.
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